code: def __init__(self):
      super(UnifiedTransformer, self).__init__()
  
      self.model = UnifiedTransformerLMHeadModel.from_pretrained(
          "plato-mini"
      )
      self.tokenizer = UnifiedTransformerTokenizer.from_pretrained(
          "plato-mini"
      )
      self._interactive_mode = False
  
file_path: PaddleHub/modules/text/text_generation/plato-mini/module.py
imports: import contextlib
  from collections import deque
  from typing import List, Union
  import numpy
  import paddle
  import paddle.nn
  from paddlehub.module.module import moduleinfo, serving
  from paddlenlp.data import Pad
  from paddlenlp.transformers import UnifiedTransformerLMHeadModel, UnifiedTransformerTokenizer
  from plato_mini.utils import select_response
label_desc: Use image node_id 1 to create a new UnifiedTransformer object from inherited base classes: nn with example: obj = UnifiedTransformer()